HappyRobot
Software Engineer - Full-Stack
San Francisco
Stay score
odds of building a lasting career here
Thin sponsorship signal and lottery-bound. A low-probability bet with your clock running. Prioritize cap-exempt roles and proven entry-level sponsors first.
Lottery odds assume a STEM candidate.
Personalize to your clock →Employer immigration record
from this employer's Department of Labor filings
Files H-1B transfers
Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.
Community outcomes
No reports yet — be the first to help the next applicant.
About the role
- At HappyRobot, Full Stack Engineers own meaningful parts of the product and infrastructure end-to-end.
- We're looking for builders who thrive in ambiguity, care deeply about craft, and want real ownership over what they create.
Responsibilities
- Build and own entire sections of the product, including major parts of the web application
- Design, implement, and ship features end-to-end - from UI to APIs to infrastructure
- Help optimize and scale our voice AI infrastructure, improving latency, reliability, and cost
- Collaborate closely with founders and teammates to shape product direction
- No excuses, no blame-shifting - if something needs fixing, we own it and make it better.
- We don't wait for someone else to solve it - we lead with accountability and expect the same from those around us.
Requirements
- Front-end expertise with TypeScript and Next.js, including performance, UX, and clean architecture
- Back-end experience with Go, building reliable, scalable systems
Compensation
- Competitive salary + equity in a high-growth startup.
Benefits
- Comprehensive Benefits including healthcare, dental, vision coverage.
Company info
- We are "majos" Be friendly & have fun with your coworkers.
This listing is sourced directly from HappyRobot's careers page and normalized into a canonical job model.